def test_FitMSParams_inputs():
input_map = dict(
args=dict(argstr='%s', ),
environ=dict(
nohash=True,
usedefault=True,
),
flip_list=dict(),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
in_files=dict(
argstr='%s',
mandatory=True,
position=-2,
),
out_dir=dict(
argstr='%s',
genfile=True,
position=-1,
),
subjects_dir=dict(),
te_list=dict(),
terminal_output=dict(nohash=True, ),
tr_list=dict(),
xfm_list=dict(),
)
inputs = FitMSParams.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
def test_FitMSParams_inputs():
input_map = dict(args=dict(argstr='%s',
),
environ=dict(nohash=True,
usedefault=True,
),
flip_list=dict(),
ignore_exception=dict(nohash=True,
usedefault=True,
),
in_files=dict(argstr='%s',
mandatory=True,
position=-2,
),
out_dir=dict(argstr='%s',
genfile=True,
position=-1,
),
subjects_dir=dict(),
te_list=dict(),
terminal_output=dict(nohash=True,
),
tr_list=dict(),
xfm_list=dict(),
)
inputs = FitMSParams.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
def test_FitMSParams_outputs():
output_map = dict(pd_image=dict(),
t1_image=dict(),
t2star_image=dict(),
)
outputs = FitMSParams.output_spec()
for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value
def test_FitMSParams_outputs():
output_map = dict(pd_image=dict(),
t1_image=dict(),
t2star_image=dict(),
)
outputs = FitMSParams.output_spec()
for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value